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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/248571bf42f9b3e1b94b541f568cd4f0f/isw-bibliothek",         
         "tags" : [
            "compensation","drive","error","feed","isw","learning","machine","tool"
         ],
         
         "intraHash" : "48571bf42f9b3e1b94b541f568cd4f0f",
         "interHash" : "fc115f1ff8efe474a50ffb3153d44a85",
         "label" : "Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives",
         "user" : "isw-bibliothek",
         "description" : "",
         "date" : "2024-07-26 11:59:23",
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         "pub-type": "inproceedings",
         "booktitle": "2024 European Control Conference (ECC)",
         "year": "2024", 
         "url": "", 
         
         "author": [ 
            "Lukas Steinle","Valentin Leipe","Armin Lechler","Alexander Veri"
         ],
         "authors": [
         	
            	{"first" : "Lukas",	"last" : "Steinle"},
            	{"first" : "Valentin",	"last" : "Leipe"},
            	{"first" : "Armin",	"last" : "Lechler"},
            	{"first" : "Alexander",	"last" : "Veri"}
         ],
         "pages": "2441-2447","abstract": "Rack-and-pinion drives are commonly used in large machine tools to provide linear motion of heavy loads over long travel distances. A key concern in this context is the achievable path accuracy, which is limited by assembly and manufacturing tolerances of the gearing components in conjunction with load-dependent deformation and the inherent backlash of the system. To address this issue, this paper presents a method for robust modeling of the individual and state-dependent transmission errors of a drive utilizing a two-stage machine learning approach. Based on this, the position control is extended to include an error compensation, which suppresses the modeled deviations in the mechanical system including the position-dependent backlash. The achievable increase in path accuracy as well as the robustness of the approach are evaluated and quantified by an experimental validation on a system with industry standard components.",
         "doi" : "10.23919/ECC64448.2024.10591213",
         
         "bibtexKey": "10591213"

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            "Compensation","Feed","Learning","Machine","drive","tool"
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         "interHash" : "2089008983eb6ff2a8073a674a8ff704",
         "label" : "Adaptive compensation of the transmission errors in rack-and-pinion drives",
         "user" : "isw-bibliothek",
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         "date" : "2022-08-09 08:52:30",
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         "journal": "CIRP Annals","publisher":"Elsevier BV",
         "year": "2022", 
         "url": "https://doi.org/10.1016%2Fj.cirp.2022.03.026", 
         
         "author": [ 
            "Alexander Verl","Lukas Steinle"
         ],
         "authors": [
         	
            	{"first" : "Alexander",	"last" : "Verl"},
            	{"first" : "Lukas",	"last" : "Steinle"}
         ],
         
         "editor": [ 
            "CIRP Annals Manufacturing Technology"
         ],
         "editors": [
         	
            	{"first" : "CIRP Annals Manufacturing",	"last" : "Technology"}
         ],
         "volume": "71","number": "1","pages": "345--348",
         "doi" : "10.1016/j.cirp.2022.03.026",
         
         "bibtexKey": "Verl_2022"

      }
	  
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